Md Faisal Kabir

Pennsylvania State University-Harrisburg USA

In recent years, researchers have proven the effectiveness and speediness of machine learning-based cancer diagnosis models. However, it is difficult to explain the results generated by machine learning models, especially ones that utilized complex high-dimensional data like RNA sequencing data. In this study, we propose the binarilization techniqu...

Despite simpler architectural designs compared with Vision Transformers and Convolutional Neural Networks, Vision MLPs have demonstrated strong performance and high data efficiency for image classification and semantic segmentation. Following pioneering works such as MLP-Mixers and gMLPs, later research proposed a plethora of Vision MLP architectur...

The use of contemporary technologies in healthcare systems to improve quality of care and to promote behavioral healthcare outcomes are prevalent in high-income countries. However, low and middle-income countries (LMICs) are not receiving the same advantages of technology, which may be due to inadequate technological infrastructure and financial re...

Developments in technology facilitate the use of machine learning methods in medical fields. In cancer research, the combination of machine learning tools and gene expression data has proven its ability to detect cancer patients. However, processing such high-dimensional and complex data is still a challenge. This paper analyzed the impact differen...

Classification is one of the supervised learning models, and enhancing the performance of a classification model has been a challenging research problem in the fields of machine learning (ML) and data mining. The goal of ML is to produce or build a model that can be used to perform classification. It is important to achieve superior performance of...

Data labeling in computer vision, specifically in object detection tasks, remains a significant challenge in terms of efficiency and accuracy. This research article introduces an auto-labeling algorithm that combines active deep-learning techniques with the YOLOv8 model. The aim is to automate the data labeling process and enhance the performance o...

Skin cancer is one of the most widespread diseases that can be diagnosed through artificial intelligence and computer vision. In recent years, researchers focused on addressing skin cancer at the edge because of enhanced real-time processing capabilities, reduced data vulnerability, and cost-effective hard-ware solutions. Despite the advancements i...

Source code authorship attribution is the task of identifying who develops the code based on learning based on the programmer style. It is one of the critical activities which used extensively in different aspects such as computer security, computer law, and plagiarism. This paper attempts to investigate source code authorship attribution by captur...

Despite their simpler information fusion designs compared with Vision Transformers and Convolutional Neural Networks, Vision MLP architectures have demonstrated strong performance and high data efficiency in recent research. However, existing works such as CycleMLP and Vision Permutator typically model spatial information in equal-size spatial regi...

Cancer is one of the most devastating diseases worldwide. It affects nearly every household, although the prevalence of cancer types varies by geographical regions. One example is breast cancer, which is the most common type of cancer in women worldwide. Therefore, prevention strategies are needed to reduce morbidity and mortality. Identifying risk...

Software engineering is one of the most significant areas, which extensively used in educational and industrial fields. Software engineering education plays an essential role in keeping students up to date with software technologies, products, and processes that are commonly applied in the software industry. The software development project is one...

State of the art suggests that Relational Agents (RAs) can alleviate escalated demands of health care services during a pandemic. Inspired by these facts, this work presents the design, significance, and initial evaluation of a prototype RA that supports people amid the COVID-19 crisis. The prototype is the end-result of an analysis that investigat...

Machine translation means automatic translation which is performed using computer software. There are several approaches to machine translation, some of them need extensive linguistic knowledge while others require enormous statistical calculations. This paper presents a hybrid method, integrating corpus based approach and statistical approach for...

Breast cancer is the most common cancer in women worldwide and the second most common cancer overall. Predicting the risk of breast cancer occurrence is an important challenge for clinical oncologists as it has direct influence in daily practice and clinical service. Classification is one of the supervised learning models that is applied in medical...

Breast cancer is the most common cancer in women worldwide. Prevention of breast cancer through risk factors reduction is a significant concern to decrease its impact on the population. Attaining or detecting significant information in the form of rules is the key to prevent breast cancer. Our objective is to find hidden but important knowledge of...

Exposure to excessive noise for long duration is one of the avoidable occupational health hazards with substantial physiological and social effect. When engineering controls and work practices are not realistic, hearing protectors should be used for reducing sound exposure to safe levels. But accurate assessment of noise induction is necessary befo...

The chapter will describe a new integrated approach to data mining by seamlessly combining business intelligence software functions with manual graphical analysis capabilities with automated data mining techniques. The integrated approach provides an analytic system that supports the KDD process in an integrated manner. Furthermore it recognizes th...

Network Proxy Logs contain useful user access patterns that are waiting to be discovered. By analyzing those logs, it is possible to discover various kinds of knowledge, which can then be applied to improve the performance of proxy server. Association Rule mining, by using Proxy logs, aims to discover interesting user access patterns. This paper pr...

Data mining (DM) is a process of non-trivial extraction of implicit, previously unknown and potentiality useful information from a large volume of data. The mined information is also referred as knowledge of the form rules, constraints and regularities. Rule mining is one of vital tasks in DM since rules provide a concise statement of potentially i...

A classification paradigm is a data mining framework containing all the concepts extracted from the training dataset to discriminate one class from other classes existing in data. Most of classification frameworks aim to provide a solution where either entire dataset is considered or a fractional dataset is considered. When a classification framewo...

paradigm is a data mining framework containing all the concepts extracted from the training dataset to differentiate one class from other classes existed in data. The primary goal of the classification frameworks is to provide a better result in terms of accuracy. However, in most of the cases we can not get better accuracy particularly for huge da...

In information retrieval area polysemous words pose a difficult problem for ranking and retrieving target documents. In the field of natural language processing, finding the meaning of a polysemous word in a specific context is often required. In this paper, we try to use context dependency to handle polysemous words. In our proposed model, we coll...

The efficient design of multiple Boolean functions is becoming important and necessary during computer aided design for circuit and systems (CADCS), especially the manufacture of chips have reached a density of several ten thousands transistors per chip, so called very large scale integration (VLSI). To simplify the Boolean expressions by conventio...